Description

Book Synopsis
A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics.

Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required.

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An Introduction to Statistical Genetic Data

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    A Paperback by Melinda C. Mills, Nicola Barban, Felix C. Tropf

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      Publisher: MIT Press
      Publication Date: 2/18/2020 12:00:00 AM
      ISBN13: 9780262538381, 978-0262538381
      ISBN10: 0262538385
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      Description

      Book Synopsis
      A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics.

      Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics. With advances in computing power, the availability of data, and new techniques, it is now possible to integrate large-scale molecular genetic information into research across a broad range of topics. This book offers the first comprehensive introduction to modern applied statistical genetic data analysis that covers theory, data preparation, and analysis of molecular genetic data, with hands-on computer exercises. It is accessible to students and researchers in any empirically oriented medical, biological, or social science discipline; a background in molecular biology or genetics is not required.

      The book first pro

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